Author

Yi-Rong Zeng

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#machine learning Preprint Sep 2026

Towards Scalable RLVR: Multimodal Instruction Following Data Synthesis and Distillation

MIFS mitigates the generalization trade-offs typical of SFT, preserving core visual capabilities while significantly boosting instruction-following precision, and introduces a generative constraint protocol to synthesize diverse raw samples.

Yi-Rong Zeng, Sai Zhang, Yu-Xian Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent

EnvCraft is introduced, an automated framework for synthesizing executable environments and scalable training data that confirms that synthesized executable environments provide robust and generalizable learning signals for training.

Yi-Rong Zeng, Shen You, Jin-Hang Feng et al. · 1 citation